Author: August MeitzenPublisher:
ISBN:
Category : Statistics
Languages : en
Pages : 264
Book Description
History, Theory, and Technique of Statistics
Author: August MeitzenPublisher:
ISBN:
Category : Statistics
Languages : en
Pages : 264
Book Description
History, Theory, and Technique of Statistics
Author: August MeitzenPublisher:
ISBN: 9780243673469
Category :
Languages : en
Pages :
Book Description
History, Theory and Technique of Statistics
Author: August MeitzenHistory, Theory, and Technique of Statistics
Author: August MeitzenPublisher: Literary Licensing, LLC
ISBN: 9781498148597
Category :
Languages : en
Pages : 248
Book Description
This Is A New Release Of The Original 1891 Edition.
History, Theory, and Technique of Statistics
Author: August MeitzenHistory, Theory, and Technique of Statistics
Author: Meitzen AugustPublisher: Legare Street Press
ISBN: 9781016545167
Category :
Languages : en
Pages : 0
Book Description
This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Studies in the History of Statistical Method
Author: Helen Mary WalkerPublisher: New York : Arno Press
ISBN:
Category : Mathematics
Languages : en
Pages : 272
Book Description
Bibliografi s. 193-215
Quantitative Methods for Historians
Author: Konrad H. JarauschPublisher: UNC Press Books
ISBN: 1469621479
Category : History
Languages : en
Pages : 266
Book Description
The pioneering texts in quantitative history were written over two decades ago, but as a command of methodological context, computer experience, and statistical literacy have become increasingly important to the study of history, the need for an introductory text addressing these matters has increased. Quantitative Methods for Historians is a theoretical and practical guide for the application of quantitative analysis in historical research. It is designed for students of history and related disciplines who are curious about the possibilities of quantification and want to learn more about its recent development. Integrating the use of the statistical packages SAS and SPSS with the quantitative method, the authors discuss techniques for defining a problem, proceed to the building of a data set and the use of statistical methods, and conclude with the interpretation of results. The data set section concentrates on the basics of formalized research, discussing the coding process and the more complicated problems of data transformation and linkage. The statistical parts systematically build upon traditional fundamentals and introduce new analytical techniques for qualitative variables. Intended as a working introduction to quantitative methods, this guide also provides additional information on advanced statistical techniques and discusses questions of historical computing, reflecting critically on the proper role of quantitative methods.
Robust Statistics
Author: Ricardo A. MaronnaPublisher: John Wiley & Sons
ISBN: 1119214688
Category : Mathematics
Languages : en
Pages : 466
Book Description
A new edition of this popular text on robust statistics, thoroughly updated to include new and improved methods and focus on implementation of methodology using the increasingly popular open-source software R. Classical statistics fail to cope well with outliers associated with deviations from standard distributions. Robust statistical methods take into account these deviations when estimating the parameters of parametric models, thus increasing the reliability of fitted models and associated inference. This new, second edition of Robust Statistics: Theory and Methods (with R) presents a broad coverage of the theory of robust statistics that is integrated with computing methods and applications. Updated to include important new research results of the last decade and focus on the use of the popular software package R, it features in-depth coverage of the key methodology, including regression, multivariate analysis, and time series modeling. The book is illustrated throughout by a range of examples and applications that are supported by a companion website featuring data sets and R code that allow the reader to reproduce the examples given in the book. Unlike other books on the market, Robust Statistics: Theory and Methods (with R) offers the most comprehensive, definitive, and up-to-date treatment of the subject. It features chapters on estimating location and scale; measuring robustness; linear regression with fixed and with random predictors; multivariate analysis; generalized linear models; time series; numerical algorithms; and asymptotic theory of M-estimates. Explains both the use and theoretical justification of robust methods Guides readers in selecting and using the most appropriate robust methods for their problems Features computational algorithms for the core methods Robust statistics research results of the last decade included in this 2nd edition include: fast deterministic robust regression, finite-sample robustness, robust regularized regression, robust location and scatter estimation with missing data, robust estimation with independent outliers in variables, and robust mixed linear models. Robust Statistics aims to stimulate the use of robust methods as a powerful tool to increase the reliability and accuracy of statistical modelling and data analysis. It is an ideal resource for researchers, practitioners, and graduate students in statistics, engineering, computer science, and physical and social sciences.
Statistical Analysis of Reliability and Life-testing Models
Author: Lee J. BainPublisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 474
Book Description
Probabilistic models; Basic statistical inference; The exponential distribution; The weibull distribution; The gamma distribution; Extreme-value distribution; The logistic and other distribution; Goodness-of-fit tests.